• 제목/요약/키워드: Fault Management Method

검색결과 216건 처리시간 0.025초

Support Vector Machine-Regression을 이용한 주기신호의 이상탐지 (A Fault Detection of Cyclic Signals Using Support Vector Machine-Regression)

  • 박승환;김준석;박정술;김성식;백준걸
    • 품질경영학회지
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    • 제38권3호
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    • pp.354-362
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    • 2010
  • This paper presents a non-linear control chart based on support vector machine regression (SVM-R) to improve the accuracy of fault detection of cyclic signals. The proposed algorithm consists of the following two steps. First, the center line of the control chart is constructed by using SVM-R. Second, we calculate control limits by variances that are estimated by perpendicular and normal line of the center line. For performance evaluation, we apply proposed algorithm to the industrial data of the chemical vapor deposition process which is one of the semiconductor processes. The proposed method has better fault detection performance than other existing method

이중 메시지 브로커를 이용한 웹기반 SNMP 장애관리시스템 설계 및 구현 (Design and Implementation of Web-based SNMP Fault Management System Using Double Message Broker)

  • 이위혁;백승진;송재원
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 하계종합학술대회 논문집(1)
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    • pp.89-92
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    • 2002
  • It is important that fault management of devices which is composing network in the next-generation internet environment. It is best method of operating network safely and efficiently. In this paper, we have suggested double message broker architecture to transmit trap messages in web-based fault management system using Java technologies. The double message broker fault management system shows that manager can do its own job efficiently

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Fault-tree 확률계산을 위한 근사적 방법 (An approximate approach for Computing Fault-tree probabilities)

  • 이근희;이동형
    • 품질경영학회지
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    • 제18권2호
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    • pp.25-32
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    • 1990
  • This paper presents an approximate algorithm for computing Fault-tree probabilities. The method is essentially composed of three steps. In the first step, a Fault-tree is converted into a network form. In the second step, We change the network into a parallelized diagram. In the third step, the approximate fault-tree probability is calculated from the parallelized diagram. In this paper, in order to verify the method two hypothetical Fault-tree is used by examples. The results show that the method is very useful, even though it is an approximate technique, since it needs not to search the minimal cut sets and has the simple computing rontines.

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FUZZY FAULT TREE ANALYSIS

  • Jang, Dae-Heung
    • 품질경영학회지
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    • 제20권1호
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    • pp.107-117
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    • 1992
  • Conventional fault tree analysis has several problems as the estimations and tolerances of the failure probability values. To overcome these problems, fuzzy concepts with natural language can be applied to conventional fault tree analysis. And, we propose the evaluation method of the imprecision of top/basic events and possibility importances of basic events.

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데이터 통신서비스를 위한 EJB기반 통합 HELPDESK 설계에 관한 연구 (A HELPDESK system design for communication network service)

  • 조동권
    • 한국정보통신학회논문지
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    • 제6권5호
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    • pp.661-666
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    • 2002
  • 인터넷의 대중화와 함께 데이터 통신서비스에 대한 수요로 데이터 통신망은 그 양과 종류가 급격하게 증가하고 있어서 통신망 운용에 따른 망구성 및 고장처리 체계의 정립이 필요하게 되었다. 기존의 다양한 유형의 데이터 통신망서비스 고장처리방법의 통합하면서 새로운 차세대 통신망서비스 고장처리방안까지 수용할 수 있도록 하는 통합 고장처리시스템의 개발이 필요하다. 본 논문에서는 모든 데이터 통신망서비스에 대한 고장시험, 고객정보관리, 시선정보관리에 관련된 시스템들과의 체계적인 연동을 통한 통합 고장처리 방안을 제시하고 UML(Unified Modeling Language)과 EJB(Enterprise Java Bean) 기술을 이용한 객체지향방법에 기반한 설계를 수행한다.

붓스트랩을 활용한 이상원인변수의 탐지 기법 (Bootstrap-Based Fault Identification Method)

  • 강지훈;김성범
    • 품질경영학회지
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    • 제39권2호
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    • pp.234-243
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    • 2011
  • Multivariate control charts are widely used to monitor the performance of a multivariate process over time to maintain control of the process. Although existing multivariate control charts provide control limits to monitor the process and detect any extraordinary events, it is a challenge to identify the causes of an out-of-control alarm when the number of process variables is large. Several fault identification methods have been developed to address this issue. However, these methods require a normality assumption of the process data. In the present study, we propose a bootstrapped-based $T^2$ decomposition technique that does not require any distributional assumption. A simulation study was conducted to examine the properties of the proposed fault identification method under various scenarios and compare it with the existing parametric $T^2$ decomposition method. The simulation results showed that the proposed method produced better results than the existing one, especially in nonnormal situations.

모듈기반 퍼스널 로봇의 결함 허용 지원을 위한 네트워크 연결 유지 관리 기법 (Method of network connection management in module based personal robot for fault-tolerant)

  • 최동희;박홍성
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년도 심포지엄 논문집 정보 및 제어부문
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    • pp.300-302
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    • 2006
  • Middleware offers function that user application program can transmit data independently of network device. Connection management about network connection of module is important for normal service of module base personal robot. Unpredictable network disconnection is influenced to whole robot performance in module base personal robot. For this, Middleware must be offer two important function. The first is function of error detection and reporting about abnormal network disconnection. Therefore, middleware need method for network error detection and module management to consider special quality that each network device has. The second is the function recovering that makes the regular service possible. When the module closed from connection reconnects, as this service reports connection state of the corresponding module, the personal robot resumes the existing service. In this paper proposed method of network connection management for to support fault tolerant about network error of network module based personal robot.

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A Fault Detection Method of Redundant IMU Using Modified Principal Component Analysis

  • Lee, Won-Hee;Park, Chan-Gook
    • International Journal of Aeronautical and Space Sciences
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    • 제13권3호
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    • pp.398-404
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    • 2012
  • A fault detection process is necessary for high integrity systems like satellites, missiles and aircrafts. Especially, the satellite has to be expected to detect faults autonomously because it cannot be fixed by an expert in the space. Faults can cause critical errors to the entire system and the satellite does not have sufficient computation power to operate a large scale fault management system. Thus, a fault detection method, which has less computational burden, is required. In this paper, we proposed a modified PCA (Principal Component Analysis) as a powerful fault detection method of redundant IMU (Inertial Measurement Unit). The proposed method combines PCA with the parity space approach and it is much more efficient than the others. The proposed fault detection algorithm, modified PCA, is shown to outperform fault detection through a simulation example.

동시 고장 시뮬레이터의 메모리효율 및 성능 향상에 대한 연구 (Fast and Memory Efficient Method for Optimal Concurrent Fault Simulator)

  • 김도윤;김규철
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 1998년도 추계종합학술대회 논문집
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    • pp.719-722
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    • 1998
  • Fault simulation for large and complex sequential circuits is highly cpu-intensive task in the intergrated circuit design process. In this paper, we propose CM-SIM, a concurrent fault simulator which employs an optimal memory management strategy and simple list operations. CM-SIM removes inefficiencies and uses new dynamic memory management strategies, using contiguous array memory. Consequently, we got improved performance and reduced memory usage in concurrent fault simulation.

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특별고압 수전설비 관리에 데이터 마이닝 기법을 적용한 파급고장 발생가능고객 예측시스템 구현 연구 (A Study on Constructing the Prediction System Using Data Mining Techniques to Find Medium-Voltage Customers Causing Distribution Line Faults)

  • 배성환;김자희;임한승
    • 전기학회논문지
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    • 제58권12호
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    • pp.2453-2461
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    • 2009
  • Faults caused by medium-voltage customers have been increased and enlarged their portion in total distribution faults even though we have done many efforts. In the previous paper, we suggested the fault prediction model and fault prevention method for these distribution line faults. However we can't directly apply this prediction model in the field. Because we don't have an useful program to predict those customers causing distribution line faults. This paper presents the construction method of data warehouse in ERP system and the program to find customers who cause distribution line faults in medium-voltage customer's electric facility management applying data mining techniques. We expect that this data warehouse and prediction program can effectively reduce faults resulted from medium-voltage customer facility.